Common Voice Scripted Speech 23.0 - Matsés

[Matses] — Matses (mcf)

This datasheet is for version 23.0 of the the Mozilla Common Voice Scripted Speech dataset for Matses (mcf). The dataset contains 11 hours of recorded speech (11 hours validated) from 20 speakers.

Language

The Matsés language, ISO code mcf belongs to the Pano family and is spoken in the basins of the Gálvez and Yaquirana rivers, and in the Añushiyacu creek, in the Loreto department of Peru. It has also traditionally been known as "mayuruna", although today the speakers themselves prefer to call it Matsés.

Demographic information

The dataset includes the following distribution of age and gender.

Gender

Self-declared gender information, percentage refers to the number of clips annotated with this gender.

Age

Self-declared age information, percentage refers to the number of clips annotated with this age band.

Text corpus

On average, sentences are composed by five words and contain a total of forty letters.

Sample

There follows a randomly selected sample of five sentences from the corpus:

Ada chuec cadec
Chienda adosh quequin
Ëuëmbo iccoshe cadueccho
shocosh ampamban codocanu
peshun ampambanta sandoquin

Automatic random samples

Buintadquio tequin
Tantiadenquio iquec
cudasquio nec
¿atoda pe?
tsësio maucud nec

Sources

Sentences were written by Mr. Uaqui Dunu

Community links

• Common Voice translators on Pontoon

Contribute

• Contribute voice recordings

• Contribute sentences

• Validate recordings

• Review sentences

Acknowledgements

We extend our gratitude to Mr. Oscar Chávez Gonzales of the Peruvian Ministry of Education for providing invaluable information.

Datasheet authors

• Luis Camacho camacho.l@pucp.pe

Citation guidelines

If you use this dataset in your research, please cite the following publication:

bibtex    @article{Camacho_2024,
    title   ={Automating the Proposition of Neologisms for the Quechua Language},
    volume  ={54}, DOI={10.1017/S0025100324000227},
    number  ={3},
    journal ={Journal of the International Phonetic Association},
    author  ={Camacho, Luis},
    year    ={2024},
    pages   ={922–938}}

Funding

This dataset was funded by the Mozilla Foundation Open Multilingual Speech Fund.

Licence

This dataset is released under the Creative Commons Zero (CC-0) licence. By downloading this data you agree to not determine the identity of speakers in the dataset.